aces_1.0.0/python/aces_ocio/create_aces_colorspaces.py

   1 #!/usr/bin/env python
   2 # -*- coding: utf-8 -*-
   3
   4 """
   5 Implements support for *ACES* colorspaces conversions and transfer functions.
   6 """
   7
   8 from __future__ import division
   9
  10 import math
  11 import numpy
  12 import os
  13 import pprint
  14 import string
  15 import shutil
  16
  17 import PyOpenColorIO as ocio
  18
  19 from aces_ocio.generate_lut import (
  20     generate_1d_LUT_from_CTL,
  21     generate_3d_LUT_from_CTL,
  22     write_SPI_1d)
  23 from aces_ocio.utilities import (
  24     ColorSpace,
  25     mat44_from_mat33,
  26     sanitize,
  27     compact)
  28
  29
  30 __author__ = 'ACES Developers'
  31 __copyright__ = 'Copyright (C) 2014 - 2015 - ACES Developers'
  32 __license__ = ''
  33 __maintainer__ = 'ACES Developers'
  34 __email__ = 'aces@oscars.org'
  35 __status__ = 'Production'
  36
  37 __all__ = ['ACES_AP1_TO_AP0',
  38            'ACES_AP0_TO_XYZ',
  39            'create_ACES',
  40            'create_ACEScc',
  41            'create_ACESproxy',
  42            'create_ACEScg',
  43            'create_ADX',
  44            'create_ACES_LMT',
  45            'create_ACES_RRT_plus_ODT',
  46            'create_generic_log',
  47            'create_LMTs',
  48            'create_ODTs',
  49            'get_transform_info',
  50            'get_ODTs_info',
  51            'get_LMTs_info',
  52            'create_colorspaces']
  53
  54 # Matrix converting *ACES AP1* primaries to *ACES AP0*.
  55 ACES_AP1_TO_AP0 = [0.6954522414, 0.1406786965, 0.1638690622,
  56                    0.0447945634, 0.8596711185, 0.0955343182,
  57                    -0.0055258826, 0.0040252103, 1.0015006723]
  58
  59 # Matrix converting *ACES AP0* primaries to *ACES AP1*.
  60 ACES_AP0_TO_AP1 = [1.4514393161, -0.2365107469, -0.2149285693,
  61                    -0.0765537734, 1.1762296998, -0.0996759264,
  62                    0.0083161484, -0.0060324498, 0.9977163014]
  63
  64 # Matrix converting *ACES AP0* primaries to *XYZ*.
  65 ACES_AP0_TO_XYZ = [0.9525523959, 0.0000000000, 0.0000936786,
  66                    0.3439664498, 0.7281660966, -0.0721325464,
  67                    0.0000000000, 0.0000000000, 1.0088251844]
  68
  69 # Matrix converting *ACES AP0* primaries to *XYZ*.
  70 ACES_XYZ_TO_AP0 = [1.0498110175, 0.0000000000, -0.0000974845,
  71                    -0.4959030231, 1.3733130458, 0.0982400361,
  72                    0.0000000000, 0.0000000000, 0.9912520182]
  73
  74
  75 def create_ACES():
  76     """
  77     Object description.
  78
  79     Parameters
  80     ----------
  81     parameter : type
  82         Parameter description.
  83
  84     Returns
  85     -------
  86     type
  87          Return value description.
  88     """
  89
  90     # Defining the reference colorspace.
  91     aces2065_1 = ColorSpace('ACES2065-1')
  92     aces2065_1.description = (
  93         'The Academy Color Encoding System reference color space')
  94     aces2065_1.equality_group = ''
  95     aces2065_1.aliases = ["lin_ap0", "aces"]
  96     aces2065_1.family = 'ACES'
  97     aces2065_1.is_data = False
  98     aces2065_1.allocation_type = ocio.Constants.ALLOCATION_LG2
  99     aces2065_1.allocation_vars = [-8, 5, 0.00390625]
 100
 101     return aces2065_1
 102
 103
 104 def create_ACEScc(aces_ctl_directory,
 105                   lut_directory,
 106                   lut_resolution_1d,
 107                   cleanup,
 108                   name='ACEScc',
 109                   min_value=0,
 110                   max_value=1,
 111                   input_scale=1):
 112     """
 113     Creates the *ACEScc* colorspace.
 114
 115     Parameters
 116     ----------
 117     parameter : type
 118         Parameter description.
 119
 120     Returns
 121     -------
 122     Colorspace
 123          *ACEScc* colorspace.
 124     """
 125
 126     cs = ColorSpace(name)
 127     cs.description = 'The %s color space' % name
 128     cs.aliases = ["acescc_ap1"]
 129     cs.equality_group = ''
 130     cs.family = 'ACES'
 131     cs.is_data = False
 132     cs.allocation_type = ocio.Constants.ALLOCATION_UNIFORM
 133     cs.allocation_vars = [min_value, max_value]
 134
 135     ctls = [os.path.join(aces_ctl_directory,
 136                          'ACEScc',
 137                          'ACEScsc.ACEScc_to_ACES.a1.0.0.ctl')]
 138     lut = '%s_to_linear.spi1d' % name
 139
 140     lut = sanitize(lut)
 141
 142     generate_1d_LUT_from_CTL(
 143         os.path.join(lut_directory, lut),
 144         ctls,
 145         lut_resolution_1d,
 146         'float',
 147         input_scale,
 148         1,
 149         {'transferFunctionOnly':1},
 150         cleanup,
 151         aces_ctl_directory,
 152         min_value,
 153         max_value,
 154         1)
 155
 156     cs.to_reference_transforms = []
 157     cs.to_reference_transforms.append({
 158         'type': 'lutFile',
 159         'path': lut,
 160         'interpolation': 'linear',
 161         'direction': 'forward'})
 162
 163     # *AP1* primaries to *AP0* primaries.
 164     cs.to_reference_transforms.append({
 165         'type': 'matrix',
 166         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 167         'direction': 'forward'})
 168
 169     cs.from_reference_transforms = []
 170     return cs
 171
 172
 173 def create_ACESproxy(aces_ctl_directory,
 174                      lut_directory,
 175                      lut_resolution_1d,
 176                      cleanup,
 177                      name='ACESproxy'):
 178     """
 179     Creates the *ACESproxy* colorspace.
 180
 181     Parameters
 182     ----------
 183     parameter : type
 184         Parameter description.
 185
 186     Returns
 187     -------
 188     Colorspace
 189          *ACESproxy* colorspace.
 190     """
 191
 192     cs = ColorSpace(name)
 193     cs.description = 'The %s color space' % name
 194     cs.aliases = ["acesproxy_ap1"]
 195     cs.equality_group = ''
 196     cs.family = 'ACES'
 197     cs.is_data = False
 198
 199     ctls = [os.path.join(aces_ctl_directory,
 200                          'ACESproxy',
 201                          'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.ctl'),
 202                           # This transform gets back to the *AP1* primaries.
 203                           # Useful as the 1d LUT is only covering the transfer function.
 204                           # The primaries switch is covered by the matrix below:
 205                           os.path.join(aces_ctl_directory,
 206                                        'ACEScg',
 207                                        'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 208     lut = '%s_to_linear.spi1d' % name
 209
 210     lut = sanitize(lut)
 211
 212     generate_1d_LUT_from_CTL(
 213         os.path.join(lut_directory, lut),
 214         ctls,
 215         lut_resolution_1d,
 216         'uint16',
 217         64,
 218         1,
 219         {},
 220         cleanup,
 221         aces_ctl_directory,
 222         0,
 223         1,
 224         1)
 225
 226     cs.to_reference_transforms = []
 227     cs.to_reference_transforms.append({
 228         'type': 'lutFile',
 229         'path': lut,
 230         'interpolation': 'linear',
 231         'direction': 'forward'})
 232
 233     # *AP1* primaries to *AP0* primaries.
 234     cs.to_reference_transforms.append({
 235         'type': 'matrix',
 236         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 237         'direction': 'forward'})
 238
 239     cs.from_reference_transforms = []
 240     return cs
 241
 242
 243 # -------------------------------------------------------------------------
 244 # *ACEScg*
 245 # -------------------------------------------------------------------------
 246 def create_ACEScg(aces_ctl_directory,
 247                   lut_directory,
 248                   lut_resolution_1d,
 249                   cleanup,
 250                   name='ACEScg'):
 251     """
 252     Creates the *ACEScg* colorspace.
 253
 254     Parameters
 255     ----------
 256     parameter : type
 257         Parameter description.
 258
 259     Returns
 260     -------
 261     Colorspace
 262          *ACEScg* colorspace.
 263     """
 264
 265     cs = ColorSpace(name)
 266     cs.description = 'The %s color space' % name
 267     cs.aliases = ["lin_ap1"]
 268     cs.equality_group = ''
 269     cs.family = 'ACES'
 270     cs.is_data = False
 271     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 272     cs.allocation_vars = [-8, 5, 0.00390625]
 273
 274     cs.to_reference_transforms = []
 275
 276     # *AP1* primaries to *AP0* primaries.
 277     cs.to_reference_transforms.append({
 278         'type': 'matrix',
 279         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 280         'direction': 'forward'})
 281
 282     cs.from_reference_transforms = []
 283     return cs
 284
 285
 286 # -------------------------------------------------------------------------
 287 # *ADX*
 288 # -------------------------------------------------------------------------
 289 def create_ADX(lut_directory,
 290                lut_resolution_1d,
 291                bit_depth=10,
 292                name='ADX'):
 293     """
 294     Creates the *ADX* colorspace.
 295
 296     Parameters
 297     ----------
 298     parameter : type
 299         Parameter description.
 300
 301     Returns
 302     -------
 303     Colorspace
 304          *ADX* colorspace.
 305     """
 306
 307     name = '%s%s' % (name, bit_depth)
 308     cs = ColorSpace(name)
 309     cs.description = '%s color space - used for film scans' % name
 310     cs.aliases = ["adx%s" % str(bit_depth)]
 311     cs.equality_group = ''
 312     cs.family = 'ADX'
 313     cs.is_data = False
 314
 315     if bit_depth == 10:
 316         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
 317         ADX_to_CDD = [1023 / 500, 0, 0, 0,
 318                       0, 1023 / 500, 0, 0,
 319                       0, 0, 1023 / 500, 0,
 320                       0, 0, 0, 1]
 321         offset = [-95 / 500, -95 / 500, -95 / 500, 0]
 322     elif bit_depth == 16:
 323         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
 324         ADX_to_CDD = [65535 / 8000, 0, 0, 0,
 325                       0, 65535 / 8000, 0, 0,
 326                       0, 0, 65535 / 8000, 0,
 327                       0, 0, 0, 1]
 328         offset = [-1520 / 8000, -1520 / 8000, -1520 / 8000, 0]
 329
 330     cs.to_reference_transforms = []
 331
 332     # Converting from *ADX* to *Channel-Dependent Density*.
 333     cs.to_reference_transforms.append({
 334         'type': 'matrix',
 335         'matrix': ADX_to_CDD,
 336         'offset': offset,
 337         'direction': 'forward'})
 338
 339     # Convert from Channel-Dependent Density to Channel-Independent Density
 340     cs.to_reference_transforms.append({
 341         'type': 'matrix',
 342         'matrix': [0.75573, 0.22197, 0.02230, 0,
 343                    0.05901, 0.96928, -0.02829, 0,
 344                    0.16134, 0.07406, 0.76460, 0,
 345                    0, 0, 0, 1],
 346         'direction': 'forward'})
 347
 348     # Copied from *Alex Fry*'s *adx_cid_to_rle.py*
 349     def create_CID_to_RLE_LUT():
 350
 351         def interpolate_1D(x, xp, fp):
 352             return numpy.interp(x, xp, fp)
 353
 354         LUT_1D_xp = [-0.190000000000000,
 355                      0.010000000000000,
 356                      0.028000000000000,
 357                      0.054000000000000,
 358                      0.095000000000000,
 359                      0.145000000000000,
 360                      0.220000000000000,
 361                      0.300000000000000,
 362                      0.400000000000000,
 363                      0.500000000000000,
 364                      0.600000000000000]
 365
 366         LUT_1D_fp = [-6.000000000000000,
 367                      -2.721718645000000,
 368                      -2.521718645000000,
 369                      -2.321718645000000,
 370                      -2.121718645000000,
 371                      -1.921718645000000,
 372                      -1.721718645000000,
 373                      -1.521718645000000,
 374                      -1.321718645000000,
 375                      -1.121718645000000,
 376                      -0.926545676714876]
 377
 378         REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
 379                   math.log(0.18, 10))
 380
 381         def cid_to_rle(x):
 382             if x <= 0.6:
 383                 return interpolate_1D(x, LUT_1D_xp, LUT_1D_fp)
 384             return (100 / 55) * x - REF_PT
 385
 386         def fit(value, from_min, from_max, to_min, to_max):
 387             if from_min == from_max:
 388                 raise ValueError('from_min == from_max')
 389             return (value - from_min) / (from_max - from_min) * (
 390                 to_max - to_min) + to_min
 391
 392         num_samples = 2 ** 12
 393         domain = (-0.19, 3)
 394         data = []
 395         for i in xrange(num_samples):
 396             x = i / (num_samples - 1)
 397             x = fit(x, 0, 1, domain[0], domain[1])
 398             data.append(cid_to_rle(x))
 399
 400         lut = 'ADX_CID_to_RLE.spi1d'
 401         write_SPI_1d(os.path.join(lut_directory, lut),
 402                      domain[0],
 403                      domain[1],
 404                      data,
 405                      num_samples, 1)
 406
 407         return lut
 408
 409     # Converting *Channel Independent Density* values to
 410     # *Relative Log Exposure* values.
 411     lut = create_CID_to_RLE_LUT()
 412     cs.to_reference_transforms.append({
 413         'type': 'lutFile',
 414         'path': lut,
 415         'interpolation': 'linear',
 416         'direction': 'forward'})
 417
 418     # Converting *Relative Log Exposure* values to
 419     # *Relative Exposure* values.
 420     cs.to_reference_transforms.append({
 421         'type': 'log',
 422         'base': 10,
 423         'direction': 'inverse'})
 424
 425     # Convert *Relative Exposure* values to *ACES* values.
 426     cs.to_reference_transforms.append({
 427         'type': 'matrix',
 428         'matrix': [0.72286, 0.12630, 0.15084, 0,
 429                    0.11923, 0.76418, 0.11659, 0,
 430                    0.01427, 0.08213, 0.90359, 0,
 431                    0, 0, 0, 1],
 432         'direction': 'forward'})
 433
 434     cs.from_reference_transforms = []
 435     return cs
 436
 437 # -------------------------------------------------------------------------
 438 # *Generic Log Transform*
 439 # -------------------------------------------------------------------------
 440 def create_generic_log(aces_ctl_directory,
 441                        lut_directory,
 442                        lut_resolution_1d,
 443                        cleanup,
 444                        name='log',
 445                        aliases=[],
 446                        min_value=0,
 447                        max_value=1,
 448                        input_scale=1,
 449                        middle_grey=0.18,
 450                        min_exposure=-6,
 451                        max_exposure=6.5):
 452     """
 453     Creates the *Generic Log* colorspace.
 454
 455     Parameters
 456     ----------
 457     parameter : type
 458         Parameter description.
 459
 460     Returns
 461     -------
 462     Colorspace
 463          *Generic Log* colorspace.
 464     """
 465
 466     cs = ColorSpace(name)
 467     cs.description = 'The %s color space' % name
 468     cs.aliases = aliases
 469     cs.equality_group = name
 470     cs.family = 'Utility'
 471     cs.is_data = False
 472
 473     ctls = [os.path.join(
 474         aces_ctl_directory,
 475         'utilities',
 476         'ACESlib.OCIO_shaper_log2_to_lin_param.a1.0.0.ctl')]
 477     lut = '%s_to_linear.spi1d' % name
 478
 479     lut = sanitize(lut)
 480
 481     generate_1d_LUT_from_CTL(
 482         os.path.join(lut_directory, lut),
 483         ctls,
 484         lut_resolution_1d,
 485         'float',
 486         input_scale,
 487         1,
 488         {'middleGrey': middle_grey,
 489          'minExposure': min_exposure,
 490          'maxExposure': max_exposure},
 491         cleanup,
 492         aces_ctl_directory,
 493         min_value,
 494         max_value,
 495         1)
 496
 497     cs.to_reference_transforms = []
 498     cs.to_reference_transforms.append({
 499         'type': 'lutFile',
 500         'path': lut,
 501         'interpolation': 'linear',
 502         'direction': 'forward'})
 503
 504     cs.from_reference_transforms = []
 505     return cs
 506
 507 # -------------------------------------------------------------------------
 508 # *base Dolby PQ Transform*
 509 # -------------------------------------------------------------------------
 510 def create_dolbypq(aces_CTL_directory,
 511                     lut_directory,
 512                     lut_resolution_1d,
 513                     cleanup,
 514                     name='pq',
 515                     aliases=[],
 516                     min_value=0.0,
 517                     max_value=1.0,
 518                     input_scale=1.0):
 519     cs = ColorSpace(name)
 520     cs.description = 'The %s color space' % name
 521     cs.aliases = aliases
 522     cs.equality_group = name
 523     cs.family = 'Utility'
 524     cs.is_data = False
 525
 526     ctls = [os.path.join(
 527                          aces_CTL_directory,
 528                          'utilities',
 529                          'ACESlib.OCIO_shaper_dolbypq_to_lin.a1.0.0.ctl')]
 530     lut = '%s_to_linear.spi1d' % name
 531
 532     lut = sanitize(lut)
 533
 534     generate_1d_LUT_from_CTL(
 535         os.path.join(lut_directory, lut),
 536         ctls,
 537         lut_resolution_1d,
 538         'float',
 539         input_scale,
 540         1.0,
 541         {},
 542         cleanup,
 543         aces_CTL_directory,
 544         min_value,
 545         max_value)
 546
 547     cs.to_reference_transforms = []
 548     cs.to_reference_transforms.append({
 549         'type': 'lutFile',
 550         'path': lut,
 551         'interpolation': 'linear',
 552         'direction': 'forward'})
 553
 554     cs.from_reference_transforms = []
 555     return cs
 556
 557 # -------------------------------------------------------------------------
 558 # *Dolby PQ Transform that considers a fixed linear range*
 559 # -------------------------------------------------------------------------
 560 def create_dolbypq_scaled(aces_CTL_directory,
 561                            lut_directory,
 562                            lut_resolution_1d,
 563                            cleanup,
 564                            name='pq',
 565                            aliases=[],
 566                            min_value=0.0,
 567                            max_value=1.0,
 568                            input_scale=1.0,
 569                            middle_grey=0.18,
 570                            min_exposure=-6.0,
 571                            max_exposure=6.5):
 572     cs = ColorSpace(name)
 573     cs.description = 'The %s color space' % name
 574     cs.aliases = aliases
 575     cs.equality_group = name
 576     cs.family = 'Utility'
 577     cs.is_data = False
 578
 579     ctls = [os.path.join(
 580                          aces_CTL_directory,
 581                          'utilities',
 582                          'ACESlib.OCIO_shaper_dolbypq_to_lin_param.a1.0.0.ctl')]
 583     lut = '%s_to_linear.spi1d' % name
 584
 585     lut = sanitize(lut)
 586
 587     generate_1d_LUT_from_CTL(
 588         os.path.join(lut_directory, lut),
 589         ctls,
 590         lut_resolution_1d,
 591         'float',
 592         input_scale,
 593         1.0,
 594         {'middleGrey': middle_grey,
 595          'minExposure': min_exposure,
 596          'maxExposure': max_exposure},
 597         cleanup,
 598         aces_CTL_directory,
 599         min_value,
 600         max_value)
 601
 602     cs.to_reference_transforms = []
 603     cs.to_reference_transforms.append({
 604         'type': 'lutFile',
 605         'path': lut,
 606         'interpolation': 'linear',
 607         'direction': 'forward'})
 608
 609     cs.from_reference_transforms = []
 610     return cs
 611
 612 # -------------------------------------------------------------------------
 613 # *Individual LMT*
 614 # -------------------------------------------------------------------------
 615 def create_ACES_LMT(lmt_name,
 616                     lmt_values,
 617                     shaper_info,
 618                     aces_ctl_directory,
 619                     lut_directory,
 620                     lut_resolution_1d=1024,
 621                     lut_resolution_3d=64,
 622                     cleanup=True,
 623                     aliases=None):
 624     """
 625     Creates the *ACES LMT* colorspace.
 626
 627     Parameters
 628     ----------
 629     parameter : type
 630         Parameter description.
 631
 632     Returns
 633     -------
 634     Colorspace
 635          *ACES LMT* colorspace.
 636     """
 637
 638     if aliases is None:
 639         aliases = []
 640
 641     cs = ColorSpace('%s' % lmt_name)
 642     cs.description = 'The ACES Look Transform: %s' % lmt_name
 643     cs.aliases = aliases
 644     cs.equality_group = ''
 645     cs.family = 'Look'
 646     cs.is_data = False
 647     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 648     cs.allocation_vars = [-8, 5, 0.00390625]
 649
 650     pprint.pprint(lmt_values)
 651
 652     # Generating the *shaper* transform.
 653     (shaper_name,
 654      shaper_to_ACES_CTL,
 655      shaper_from_ACES_CTL,
 656      shaper_input_scale,
 657      shaper_params) = shaper_info
 658
 659     # Add the shaper transform
 660     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 661     shaper_lut = sanitize(shaper_lut)
 662
 663     shaper_OCIO_transform = {
 664         'type': 'lutFile',
 665         'path': shaper_lut,
 666         'interpolation': 'linear',
 667         'direction': 'inverse'}
 668
 669     # Generating the forward transform.
 670     cs.from_reference_transforms = []
 671
 672     if 'transformCTL' in lmt_values:
 673         ctls = [shaper_to_ACES_CTL % aces_ctl_directory,
 674                 os.path.join(aces_ctl_directory,
 675                              lmt_values['transformCTL'])]
 676         lut = '%s.%s.spi3d' % (shaper_name, lmt_name)
 677
 678         lut = sanitize(lut)
 679
 680         generate_3d_LUT_from_CTL(
 681             os.path.join(lut_directory, lut),
 682             ctls,
 683             lut_resolution_3d,
 684             'float',
 685             1 / shaper_input_scale,
 686             1,
 687             shaper_params,
 688             cleanup,
 689             aces_ctl_directory)
 690
 691         cs.from_reference_transforms.append(shaper_OCIO_transform)
 692         cs.from_reference_transforms.append({
 693             'type': 'lutFile',
 694             'path': lut,
 695             'interpolation': 'tetrahedral',
 696             'direction': 'forward'})
 697
 698     # Generating the inverse transform.
 699     cs.to_reference_transforms = []
 700
 701     if 'transformCTLInverse' in lmt_values:
 702         ctls = [os.path.join(aces_ctl_directory,
 703                              lmt_values['transformCTLInverse']),
 704                 shaper_from_ACES_CTL % aces_ctl_directory]
 705         lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
 706
 707         lut = sanitize(lut)
 708
 709         generate_3d_LUT_from_CTL(
 710             os.path.join(lut_directory, lut),
 711             ctls,
 712             lut_resolution_3d,
 713             'half',
 714             1,
 715             shaper_input_scale,
 716             shaper_params,
 717             cleanup,
 718             aces_ctl_directory,
 719             0,
 720             1,
 721             1)
 722
 723         cs.to_reference_transforms.append({
 724             'type': 'lutFile',
 725             'path': lut,
 726             'interpolation': 'tetrahedral',
 727             'direction': 'forward'})
 728
 729         shaper_inverse = shaper_OCIO_transform.copy()
 730         shaper_inverse['direction'] = 'forward'
 731         cs.to_reference_transforms.append(shaper_inverse)
 732
 733     return cs
 734
 735 # -------------------------------------------------------------------------
 736 # *LMTs*
 737 # -------------------------------------------------------------------------
 738 def create_LMTs(aces_ctl_directory,
 739                 lut_directory,
 740                 lut_resolution_1d,
 741                 lut_resolution_3d,
 742                 lmt_info,
 743                 shaper_name,
 744                 cleanup):
 745     """
 746     Object description.
 747
 748     Parameters
 749     ----------
 750     parameter : type
 751         Parameter description.
 752
 753     Returns
 754     -------
 755     type
 756          Return value description.
 757     """
 758
 759     colorspaces = []
 760
 761     # -------------------------------------------------------------------------
 762     # *LMT Shaper*
 763     # -------------------------------------------------------------------------
 764     lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
 765     lmt_lut_resolution_3d = max(65, lut_resolution_3d)
 766
 767     # Defining the *Log 2* shaper.
 768     lmt_shaper_name = 'LMT Shaper'
 769     lmt_shaper_name_aliases = ['crv_lmtshaper']
 770     lmt_params = {
 771         'middleGrey': 0.18,
 772         'minExposure': -10,
 773         'maxExposure': 6.5}
 774
 775     lmt_shaper = create_generic_log(aces_ctl_directory,
 776                                     lut_directory,
 777                                     lmt_lut_resolution_1d,
 778                                     cleanup,
 779                                     name=lmt_shaper_name,
 780                                     middle_grey=lmt_params['middleGrey'],
 781                                     min_exposure=lmt_params['minExposure'],
 782                                     max_exposure=lmt_params['maxExposure'],
 783                                     aliases=lmt_shaper_name_aliases)
 784     colorspaces.append(lmt_shaper)
 785
 786     shaper_input_scale_generic_log2 = 1
 787
 788     # *Log 2* shaper name and *CTL* transforms bundled up.
 789     lmt_shaper_data = [
 790         lmt_shaper_name,
 791         os.path.join('%s',
 792                      'utilities',
 793                      'ACESlib.OCIO_shaper_log2_to_lin_param.a1.0.0.ctl'),
 794         os.path.join('%s',
 795                      'utilities',
 796                      'ACESlib.OCIO_shaper_lin_to_log2_param.a1.0.0.ctl'),
 797         shaper_input_scale_generic_log2,
 798         lmt_params]
 799
 800     sorted_LMTs = sorted(lmt_info.iteritems(), key=lambda x: x[1])
 801     print(sorted_LMTs)
 802     for lmt in sorted_LMTs:
 803         lmt_name, lmt_values = lmt
 804         lmt_aliases = ["look_%s" % compact(lmt_values['transformUserName'])]
 805         cs = create_ACES_LMT(
 806             lmt_values['transformUserName'],
 807             lmt_values,
 808             lmt_shaper_data,
 809             aces_ctl_directory,
 810             lut_directory,
 811             lmt_lut_resolution_1d,
 812             lmt_lut_resolution_3d,
 813             cleanup,
 814             lmt_aliases)
 815         colorspaces.append(cs)
 816
 817     return colorspaces
 818
 819 # -------------------------------------------------------------------------
 820 # *ACES RRT* with supplied *ODT*.
 821 # -------------------------------------------------------------------------
 822 def create_ACES_RRT_plus_ODT(odt_name,
 823                              odt_values,
 824                              shaper_info,
 825                              aces_ctl_directory,
 826                              lut_directory,
 827                              lut_resolution_1d=1024,
 828                              lut_resolution_3d=64,
 829                              cleanup=True,
 830                              aliases=None):
 831     """
 832     Object description.
 833
 834     Parameters
 835     ----------
 836     parameter : type
 837         Parameter description.
 838
 839     Returns
 840     -------
 841     type
 842          Return value description.
 843     """
 844
 845     if aliases is None:
 846         aliases = []
 847
 848     cs = ColorSpace('%s' % odt_name)
 849     cs.description = '%s - %s Output Transform' % (
 850         odt_values['transformUserNamePrefix'], odt_name)
 851     cs.aliases = aliases
 852     cs.equality_group = ''
 853     cs.family = 'Output'
 854     cs.is_data = False
 855
 856     pprint.pprint(odt_values)
 857
 858     # Generating the *shaper* transform.
 859     (shaper_name,
 860      shaper_to_ACES_CTL,
 861      shaper_from_ACES_CTL,
 862      shaper_input_scale,
 863      shaper_params) = shaper_info
 864
 865     if 'legalRange' in odt_values:
 866         shaper_params['legalRange'] = odt_values['legalRange']
 867     else:
 868         shaper_params['legalRange'] = 0
 869
 870     # Add the shaper transform
 871     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 872     shaper_lut = sanitize(shaper_lut)
 873
 874     shaper_OCIO_transform = {
 875         'type': 'lutFile',
 876         'path': shaper_lut,
 877         'interpolation': 'linear',
 878         'direction': 'inverse'}
 879
 880     # Generating the *forward* transform.
 881     cs.from_reference_transforms = []
 882
 883     if 'transformLUT' in odt_values:
 884         transform_LUT_file_name = os.path.basename(
 885             odt_values['transformLUT'])
 886         lut = os.path.join(lut_directory, transform_LUT_file_name)
 887         shutil.copy(odt_values['transformLUT'], lut)
 888
 889         cs.from_reference_transforms.append(shaper_OCIO_transform)
 890         cs.from_reference_transforms.append({
 891             'type': 'lutFile',
 892             'path': transform_LUT_file_name,
 893             'interpolation': 'tetrahedral',
 894             'direction': 'forward'})
 895     elif 'transformCTL' in odt_values:
 896         ctls = [
 897             shaper_to_ACES_CTL % aces_ctl_directory,
 898             os.path.join(aces_ctl_directory,
 899                          'rrt',
 900                          'RRT.a1.0.0.ctl'),
 901             os.path.join(aces_ctl_directory,
 902                          'odt',
 903                          odt_values['transformCTL'])]
 904         lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
 905
 906         lut = sanitize(lut)
 907
 908         generate_3d_LUT_from_CTL(
 909             os.path.join(lut_directory, lut),
 910             # shaperLUT,
 911             ctls,
 912             lut_resolution_3d,
 913             'float',
 914             1 / shaper_input_scale,
 915             1,
 916             shaper_params,
 917             cleanup,
 918             aces_ctl_directory)
 919
 920         cs.from_reference_transforms.append(shaper_OCIO_transform)
 921         cs.from_reference_transforms.append({
 922             'type': 'lutFile',
 923             'path': lut,
 924             'interpolation': 'tetrahedral',
 925             'direction': 'forward'})
 926
 927     # Generating the *inverse* transform.
 928     cs.to_reference_transforms = []
 929
 930     if 'transformLUTInverse' in odt_values:
 931         transform_LUT_inverse_file_name = os.path.basename(
 932             odt_values['transformLUTInverse'])
 933         lut = os.path.join(lut_directory, transform_LUT_inverse_file_name)
 934         shutil.copy(odt_values['transformLUTInverse'], lut)
 935
 936         cs.to_reference_transforms.append({
 937             'type': 'lutFile',
 938             'path': transform_LUT_inverse_file_name,
 939             'interpolation': 'tetrahedral',
 940             'direction': 'forward'})
 941
 942         shaper_inverse = shaper_OCIO_transform.copy()
 943         shaper_inverse['direction'] = 'forward'
 944         cs.to_reference_transforms.append(shaper_inverse)
 945     elif 'transformCTLInverse' in odt_values:
 946         ctls = [os.path.join(aces_ctl_directory,
 947                              'odt',
 948                              odt_values['transformCTLInverse']),
 949                 os.path.join(aces_ctl_directory,
 950                              'rrt',
 951                              'InvRRT.a1.0.0.ctl'),
 952                 shaper_from_ACES_CTL % aces_ctl_directory]
 953         lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
 954
 955         lut = sanitize(lut)
 956
 957         generate_3d_LUT_from_CTL(
 958             os.path.join(lut_directory, lut),
 959             # None,
 960             ctls,
 961             lut_resolution_3d,
 962             'half',
 963             1,
 964             shaper_input_scale,
 965             shaper_params,
 966             cleanup,
 967             aces_ctl_directory)
 968
 969         cs.to_reference_transforms.append({
 970             'type': 'lutFile',
 971             'path': lut,
 972             'interpolation': 'tetrahedral',
 973             'direction': 'forward'})
 974
 975         shaper_inverse = shaper_OCIO_transform.copy()
 976         shaper_inverse['direction'] = 'forward'
 977         cs.to_reference_transforms.append(shaper_inverse)
 978
 979     return cs
 980
 981 # -------------------------------------------------------------------------
 982 # *ODTs*
 983 # -------------------------------------------------------------------------
 984 def create_ODTs(aces_ctl_directory,
 985                 lut_directory,
 986                 lut_resolution_1d,
 987                 lut_resolution_3d,
 988                 odt_info,
 989                 shaper_name,
 990                 cleanup,
 991                 linear_display_space,
 992                 log_display_space):
 993     """
 994     Object description.
 995
 996     Parameters
 997     ----------
 998     parameter : type
 999         Parameter description.
1000
1001     Returns
1002     -------
1003     type
1004          Return value description.
1005     """
1006
1007     colorspaces = []
1008     displays = {}
1009
1010     # -------------------------------------------------------------------------
1011     # *RRT / ODT* Shaper Options
1012     # -------------------------------------------------------------------------
1013     shaper_data = {}
1014
1015     # Defining the *Log 2* shaper.
1016     log2_shaper_name = shaper_name
1017     log2_shaper_name_aliases = ["crv_%s" % compact(log2_shaper_name)]
1018     log2_params = {
1019         'middleGrey': 0.18,
1020         'minExposure': -6,
1021         'maxExposure': 6.5}
1022
1023     log2_shaper_colorspace = create_generic_log(
1024         aces_ctl_directory,
1025         lut_directory,
1026         lut_resolution_1d,
1027         cleanup,
1028         name=log2_shaper_name,
1029         middle_grey=log2_params['middleGrey'],
1030         min_exposure=log2_params['minExposure'],
1031         max_exposure=log2_params['maxExposure'],
1032         aliases=log2_shaper_name_aliases)
1033     colorspaces.append(log2_shaper_colorspace)
1034
1035     shaper_input_scale_generic_log2 = 1
1036
1037     # *Log 2* shaper name and *CTL* transforms bundled up.
1038     log2_shaper_data = [
1039         log2_shaper_name,
1040         os.path.join('%s',
1041                      'utilities',
1042                      'ACESlib.OCIO_shaper_log2_to_lin_param.a1.0.0.ctl'),
1043         os.path.join('%s',
1044                      'utilities',
1045                      'ACESlib.OCIO_shaper_lin_to_log2_param.a1.0.0.ctl'),
1046         shaper_input_scale_generic_log2,
1047         log2_params]
1048
1049     shaper_data[log2_shaper_name] = log2_shaper_data
1050
1051     # Space with a more user-friendly name. Direct copy otherwise.
1052     log2_shaper_copy_name = "Log2 Shaper"
1053     log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1054     log2_shaper_copy_colorspace.description = 'The %s color space' % log2_shaper_copy_name
1055     log2_shaper_copy_colorspace.aliases = [compact(log2_shaper_copy_name)]
1056     log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
1057     log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
1058     log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
1059     log2_shaper_copy_colorspace.to_reference_transforms = list(log2_shaper_colorspace.to_reference_transforms)
1060     log2_shaper_copy_colorspace.from_reference_transforms = list(log2_shaper_colorspace.from_reference_transforms)
1061     colorspaces.append(log2_shaper_copy_colorspace)
1062
1063     # Defining the *Log2 shaper that includes the AP1* primaries.
1064     # Needed for some LUT baking steps.
1065     log2_shaper_api1_name = "%s - AP1" % "Log2 Shaper"
1066     log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
1067     log2_shaper_api1_colorspace.description = 'The %s color space' % log2_shaper_api1_name
1068     log2_shaper_api1_colorspace.aliases = ["%s_ap1" % compact(log2_shaper_copy_name)]
1069     log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
1070     log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
1071     log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1072     log2_shaper_api1_colorspace.to_reference_transforms = list(log2_shaper_colorspace.to_reference_transforms)
1073     log2_shaper_api1_colorspace.from_reference_transforms = list(log2_shaper_colorspace.from_reference_transforms)
1074
1075     # *AP1* primaries to *AP0* primaries.
1076     log2_shaper_api1_colorspace.to_reference_transforms.append({
1077         'type': 'matrix',
1078         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
1079         'direction': 'forward'
1080     })
1081     colorspaces.append(log2_shaper_api1_colorspace)
1082
1083     # Define the base *Dolby PQ Shaper*
1084     #
1085     dolbypq_shaper_name = "Dolby PQ 10000"
1086     dolbypq_shaper_name_aliases = ["crv_%s" % "dolbypq_10000"]
1087
1088     dolbypq_shaper_colorspace = create_dolbypq(
1089         aces_ctl_directory,
1090         lut_directory,
1091         lut_resolution_1d,
1092         cleanup,
1093         name=dolbypq_shaper_name,
1094         aliases=dolbypq_shaper_name_aliases)
1095     colorspaces.append(dolbypq_shaper_colorspace)
1096
1097     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1098     dolbypq_shaper_data = [
1099         dolbypq_shaper_name,
1100         os.path.join('%s',
1101                      'utilities',
1102                      'ACESlib.OCIO_shaper_dolbypq_to_lin.a1.0.0.ctl'),
1103         os.path.join('%s',
1104                      'utilities',
1105                      'ACESlib.OCIO_shaper_lin_to_dolbypq.a1.0.0.ctl'),
1106         1.0,
1107         {}]
1108
1109     shaper_data[dolbypq_shaper_name] = dolbypq_shaper_data
1110
1111     # Define the *Dolby PQ Shaper that considers a fixed linear range*
1112     #
1113     dolbypq_scaled_shaper_name = "Dolby PQ Scaled"
1114     dolbypq_scaled_shaper_name_aliases = ["crv_%s" % "dolbypq_scaled"]
1115
1116     dolbypq_scaled_shaper_colorspace = create_dolbypq_scaled(
1117         aces_ctl_directory,
1118         lut_directory,
1119         lut_resolution_1d,
1120         cleanup,
1121         name=dolbypq_scaled_shaper_name,
1122         aliases=dolbypq_scaled_shaper_name_aliases)
1123     colorspaces.append(dolbypq_scaled_shaper_colorspace)
1124
1125     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1126     dolbypq_scaled_shaper_data = [
1127         dolbypq_scaled_shaper_name,
1128         os.path.join('%s',
1129                      'utilities',
1130                      'ACESlib.OCIO_shaper_dolbypq_to_lin_param.a1.0.0.ctl'),
1131         os.path.join('%s',
1132                      'utilities',
1133                      'ACESlib.OCIO_shaper_lin_to_dolbypq_param.a1.0.0.ctl'),
1134         1.0,
1135         log2_params]
1136
1137     shaper_data[dolbypq_scaled_shaper_name] = dolbypq_scaled_shaper_data
1138
1139     #
1140     # Pick a specific shaper
1141     #
1142     rrt_shaper = log2_shaper_data
1143     #rrt_shaper = dolbypq_scaled_shaper_data
1144
1145     # *RRT + ODT* combinations.
1146     sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1147     print(sorted_odts)
1148     for odt in sorted_odts:
1149         (odt_name, odt_values) = odt
1150
1151         # Generating legal range transform for *ODTs* that can generate
1152         # either *legal* or *full* output.
1153         if odt_values['transformHasFullLegalSwitch']:
1154             odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1155         else:
1156             odt_name_legal = odt_values['transformUserName']
1157
1158         odt_legal = odt_values.copy()
1159         odt_legal['legalRange'] = 1
1160
1161         odt_aliases = ["out_%s" % compact(odt_name_legal)]
1162
1163         cs = create_ACES_RRT_plus_ODT(
1164             odt_name_legal,
1165             odt_legal,
1166             rrt_shaper,
1167             aces_ctl_directory,
1168             lut_directory,
1169             lut_resolution_1d,
1170             lut_resolution_3d,
1171             cleanup,
1172             odt_aliases)
1173         colorspaces.append(cs)
1174
1175         displays[odt_name_legal] = {
1176             'Linear': linear_display_space,
1177             'Log': log_display_space,
1178             'Output Transform': cs}
1179
1180
1181         # Generating full range transform for *ODTs* that can generate
1182         # either *legal* or *full* output.
1183         if odt_values['transformHasFullLegalSwitch']:
1184             print('Generating full range ODT for %s' % odt_name)
1185
1186             odt_name_full = '%s - Full' % odt_values['transformUserName']
1187             odt_full = odt_values.copy()
1188             odt_full['legalRange'] = 0
1189
1190             odt_full_aliases = ["out_%s" % compact(odt_name_full)]
1191
1192             cs_full = create_ACES_RRT_plus_ODT(
1193                 odt_name_full,
1194                 odt_full,
1195                 rrt_shaper,
1196                 aces_ctl_directory,
1197                 lut_directory,
1198                 lut_resolution_1d,
1199                 lut_resolution_3d,
1200                 cleanup,
1201                 odt_full_aliases)
1202             colorspaces.append(cs_full)
1203
1204             displays[odt_name_full] = {
1205                 'Linear': linear_display_space,
1206                 'Log': log_display_space,
1207                 'Output Transform': cs_full}
1208
1209     return (colorspaces, displays)
1210
1211
1212 def get_transform_info(ctl_transform):
1213     """
1214     Object description.
1215
1216     Parameters
1217     ----------
1218     parameter : type
1219         Parameter description.
1220
1221     Returns
1222     -------
1223     type
1224          Return value description.
1225     """
1226
1227     with open(ctl_transform, 'rb') as fp:
1228         lines = fp.readlines()
1229
1230     # Retrieving the *transform ID* and *User Name*.
1231     transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1232     transform_user_name = '-'.join(
1233         lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1234     transform_user_name_prefix = (
1235         lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1236
1237     # Figuring out if this transform has options for processing full and legal range
1238     transform_full_legal_switch = False
1239     for line in lines:
1240         if line.strip() == "input varying int legalRange = 0":
1241             # print( "%s has legal range flag" % transform_user_name)
1242             transform_full_legal_switch = True
1243             break
1244
1245     return (transform_id, transform_user_name, transform_user_name_prefix,
1246             transform_full_legal_switch)
1247
1248
1249 def get_ODTs_info(aces_ctl_directory):
1250     """
1251     Object description.
1252
1253     For versions after WGR9.
1254
1255     Parameters
1256     ----------
1257     parameter : type
1258         Parameter description.
1259
1260     Returns
1261     -------
1262     type
1263          Return value description.
1264     """
1265
1266     # TODO: Investigate usage of *files_walker* definition here.
1267     # Credit to *Alex Fry* for the original approach here.
1268     odt_dir = os.path.join(aces_ctl_directory, 'odt')
1269     all_odt = []
1270     for dir_name, subdir_list, file_list in os.walk(odt_dir):
1271         for fname in file_list:
1272             all_odt.append((os.path.join(dir_name, fname)))
1273
1274     odt_CTLs = [x for x in all_odt if
1275                 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1276
1277     odts = {}
1278
1279     for odt_CTL in odt_CTLs:
1280         odt_tokens = os.path.split(odt_CTL)
1281
1282         # Handling nested directories.
1283         odt_path_tokens = os.path.split(odt_tokens[-2])
1284         odt_dir = odt_path_tokens[-1]
1285         while odt_path_tokens[-2][-3:] != 'odt':
1286             odt_path_tokens = os.path.split(odt_path_tokens[-2])
1287             odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1288
1289         # Building full name,
1290         transform_CTL = odt_tokens[-1]
1291         odt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1292
1293         # Finding id, user name and user name prefix.
1294         (transform_ID,
1295          transform_user_name,
1296          transform_user_name_prefix,
1297          transform_full_legal_switch) = get_transform_info(
1298             os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_CTL))
1299
1300         # Finding inverse.
1301         transform_CTL_inverse = 'InvODT.%s.ctl' % odt_name
1302         if not os.path.exists(
1303                 os.path.join(odt_tokens[-2], transform_CTL_inverse)):
1304             transform_CTL_inverse = None
1305
1306         # Add to list of ODTs
1307         odts[odt_name] = {}
1308         odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_CTL)
1309         if transform_CTL_inverse is not None:
1310             odts[odt_name]['transformCTLInverse'] = os.path.join(
1311                 odt_dir, transform_CTL_inverse)
1312
1313         odts[odt_name]['transformID'] = transform_ID
1314         odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1315         odts[odt_name]['transformUserName'] = transform_user_name
1316         odts[odt_name][
1317             'transformHasFullLegalSwitch'] = transform_full_legal_switch
1318
1319         forward_CTL = odts[odt_name]['transformCTL']
1320
1321         print('ODT : %s' % odt_name)
1322         print('\tTransform ID               : %s' % transform_ID)
1323         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1324         print('\tTransform User Name        : %s' % transform_user_name)
1325         print(
1326             '\tHas Full / Legal Switch    : %s' % transform_full_legal_switch)
1327         print('\tForward ctl                : %s' % forward_CTL)
1328         if 'transformCTLInverse' in odts[odt_name]:
1329             inverse_CTL = odts[odt_name]['transformCTLInverse']
1330             print('\tInverse ctl                : %s' % inverse_CTL)
1331         else:
1332             print('\tInverse ctl                : %s' % 'None')
1333
1334     print('\n')
1335
1336     return odts
1337
1338
1339 def get_LMTs_info(aces_ctl_directory):
1340     """
1341     Object description.
1342
1343     For versions after WGR9.
1344
1345     Parameters
1346     ----------
1347     parameter : type
1348         Parameter description.
1349
1350     Returns
1351     -------
1352     type
1353          Return value description.
1354     """
1355
1356     # TODO: Investigate refactoring with previous definition.
1357
1358     # Credit to Alex Fry for the original approach here
1359     lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1360     all_lmt = []
1361     for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1362         for fname in file_list:
1363             all_lmt.append((os.path.join(dir_name, fname)))
1364
1365     lmt_CTLs = [x for x in all_lmt if
1366                 ('InvLMT' not in x) and ('README' not in x) and (
1367                     os.path.split(x)[-1][0] != '.')]
1368
1369     lmts = {}
1370
1371     for lmt_CTL in lmt_CTLs:
1372         lmt_tokens = os.path.split(lmt_CTL)
1373
1374         # Handlimg nested directories.
1375         lmt_path_tokens = os.path.split(lmt_tokens[-2])
1376         lmt_dir = lmt_path_tokens[-1]
1377         while lmt_path_tokens[-2][-3:] != 'ctl':
1378             lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1379             lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1380
1381         # Building full name.
1382         transform_CTL = lmt_tokens[-1]
1383         lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1384
1385         # Finding id, user name and user name prefix.
1386         (transform_ID,
1387          transform_user_name,
1388          transform_user_name_prefix,
1389          transform_full_legal_switch) = get_transform_info(
1390             os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
1391
1392         # Finding inverse.
1393         transform_CTL_inverse = 'InvLMT.%s.ctl' % lmt_name
1394         if not os.path.exists(
1395                 os.path.join(lmt_tokens[-2], transform_CTL_inverse)):
1396             transform_CTL_inverse = None
1397
1398         lmts[lmt_name] = {}
1399         lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
1400         if transform_CTL_inverse is not None:
1401             lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1402                 lmt_dir, transform_CTL_inverse)
1403
1404         lmts[lmt_name]['transformID'] = transform_ID
1405         lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1406         lmts[lmt_name]['transformUserName'] = transform_user_name
1407
1408         forward_CTL = lmts[lmt_name]['transformCTL']
1409
1410         print('LMT : %s' % lmt_name)
1411         print('\tTransform ID               : %s' % transform_ID)
1412         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1413         print('\tTransform User Name        : %s' % transform_user_name)
1414         print('\t Forward ctl               : %s' % forward_CTL)
1415         if 'transformCTLInverse' in lmts[lmt_name]:
1416             inverse_CTL = lmts[lmt_name]['transformCTLInverse']
1417             print('\t Inverse ctl                : %s' % inverse_CTL)
1418         else:
1419             print('\t Inverse ctl                : %s' % 'None')
1420
1421     print('\n')
1422
1423     return lmts
1424
1425
1426 def create_colorspaces(aces_ctl_directory,
1427                        lut_directory,
1428                        lut_resolution_1d,
1429                        lut_resolution_3d,
1430                        lmt_info,
1431                        odt_info,
1432                        shaper_name,
1433                        cleanup):
1434     """
1435     Generates the colorspace conversions.
1436
1437     Parameters
1438     ----------
1439     parameter : type
1440         Parameter description.
1441
1442     Returns
1443     -------
1444     type
1445          Return value description.
1446     """
1447
1448     colorspaces = []
1449
1450     ACES = create_ACES()
1451
1452     ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1453                            lut_resolution_1d, cleanup,
1454                            min_value=-0.35840, max_value=1.468)
1455     colorspaces.append(ACEScc)
1456
1457     ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1458                                  lut_resolution_1d, cleanup)
1459     colorspaces.append(ACESproxy)
1460
1461     ACEScg = create_ACEScg(aces_ctl_directory, lut_directory,
1462                            lut_resolution_1d, cleanup)
1463     colorspaces.append(ACEScg)
1464
1465     ADX10 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=10)
1466     colorspaces.append(ADX10)
1467
1468     ADX16 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=16)
1469     colorspaces.append(ADX16)
1470
1471     lmts = create_LMTs(aces_ctl_directory,
1472                        lut_directory,
1473                        lut_resolution_1d,
1474                        lut_resolution_3d,
1475                        lmt_info,
1476                        shaper_name,
1477                        cleanup)
1478     colorspaces.extend(lmts)
1479
1480     odts, displays = create_ODTs(aces_ctl_directory,
1481                                  lut_directory,
1482                                  lut_resolution_1d,
1483                                  lut_resolution_3d,
1484                                  odt_info,
1485                                  shaper_name,
1486                                  cleanup,
1487                                  ACES,
1488                                  ACEScc)
1489     colorspaces.extend(odts)
1490
1491     roles = {'color_picking'   : ACEScg.name,
1492              'color_timing'    : ACEScc.name,
1493              'compositing_log' : ACEScc.name,
1494              'data'            : '',
1495              'default'         : ACES.name,
1496              'matte_paint'     : ACEScc.name,
1497              'reference'       : '',
1498              'scene_linear'    : ACEScg.name,
1499              'texture_paint'   : ''}
1500
1501
1502     return ACES, colorspaces, displays, ACEScc, roles